According to the definition of cluster objects belonging to same cluster must have high similarity while objects belonging to different clusters should be highly dissimilar. In the same way cluster validity indices for analyzing clustering result are ...
Data stream clustering is becoming the efficient method to cluster an online massive data. The clustering task requires a process capable of partitioning data continuously with incremental learning method. In this paper, we present a new clustering ...
In this paper, we present a hybrid clustering algorithm that combines divisive and agglomerative hierarchical clustering algorithm. Our method uses bisect K-means for divisive clustering algorithm and Unweighted Pair Group Method with Arithmetic Mean (...
Springer-Verlag
Berlin, Heidelberg